Description: Principles and applications of data science and statistics to forensic science. Methods may include machine learning, artificial intelligence, Bayesian inference, data visualisation, data security and the ethical use of data. Applications may include wastewater analysis, DNA sequencing, drug identification, biometrics, and crime detection and prevention. Prior knowledge of basic statistics is assumed.  Familiarity with statistical programming language R is beneficial.